Overview

Dataset statistics

Number of variables25
Number of observations188375
Missing cells815752
Missing cells (%)17.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.9 MiB
Average record size in memory200.0 B

Variable types

Numeric8
Categorical17

Warnings

sueldo_smdlv is highly correlated with otros_ingresos_smdlv and 1 other fieldsHigh correlation
otros_ingresos_smdlv is highly correlated with sueldo_smdlvHigh correlation
año_credito is highly correlated with sueldo_smdlvHigh correlation
sueldo_smdlv is highly correlated with otros_ingresos_smdlv and 1 other fieldsHigh correlation
otros_ingresos_smdlv is highly correlated with sueldo_smdlvHigh correlation
año_credito is highly correlated with sueldo_smdlvHigh correlation
valor_credito_smdlv is highly correlated with cuotasHigh correlation
cuotas is highly correlated with valor_credito_smdlvHigh correlation
municipio_credito is highly correlated with municipio_expedicion and 2 other fieldsHigh correlation
municipio_expedicion is highly correlated with municipio_credito and 3 other fieldsHigh correlation
año_credito is highly correlated with Row and 2 other fieldsHigh correlation
forma_pago is highly correlated with sectorHigh correlation
municipio_nacimiento is highly correlated with municipio_credito and 3 other fieldsHigh correlation
Row is highly correlated with municipio_expedicion and 6 other fieldsHigh correlation
periodo_credito is highly correlated with RowHigh correlation
genero is highly correlated with RowHigh correlation
codeudor is highly correlated with RowHigh correlation
otros_ingresos_smdlv is highly correlated with año_credito and 1 other fieldsHigh correlation
tipo_cliente is highly correlated with estado_finalHigh correlation
sueldo_smdlv is highly correlated with año_credito and 1 other fieldsHigh correlation
sector is highly correlated with forma_pagoHigh correlation
estado_final is highly correlated with tipo_clienteHigh correlation
municipio_residencia is highly correlated with municipio_credito and 3 other fieldsHigh correlation
municipio_credito is highly correlated with municipio_residenciaHigh correlation
tipo_cliente is highly correlated with estado_finalHigh correlation
municipio_expedicion is highly correlated with municipio_nacimientoHigh correlation
tipo_persona is highly correlated with generoHigh correlation
forma_pago is highly correlated with sectorHigh correlation
municipio_nacimiento is highly correlated with municipio_expedicionHigh correlation
sector is highly correlated with forma_pagoHigh correlation
genero is highly correlated with tipo_personaHigh correlation
estado_final is highly correlated with tipo_clienteHigh correlation
municipio_residencia is highly correlated with municipio_creditoHigh correlation
genero has 101176 (53.7%) missing values Missing
estado_civil has 106039 (56.3%) missing values Missing
edad has 111303 (59.1%) missing values Missing
municipio_expedicion has 95331 (50.6%) missing values Missing
tiene_casa_propia has 104056 (55.2%) missing values Missing
sueldo_smdlv has 114766 (60.9%) missing values Missing
otros_ingresos_smdlv has 182980 (97.1%) missing values Missing
Row is uniformly distributed Uniform
Row has unique values Unique

Reproduction

Analysis started2021-05-19 19:24:01.779310
Analysis finished2021-05-19 19:25:06.871959
Duration1 minute and 5.09 seconds
Software versionpandas-profiling v3.0.0
Download configurationconfig.json

Variables

Row
Real number (ℝ≥0)

HIGH CORRELATION
UNIFORM
UNIQUE

Distinct188375
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94188
Minimum1
Maximum188375
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB

Quantile statistics

Minimum1
5-th percentile9419.7
Q147094.5
median94188
Q3141281.5
95-th percentile178956.3
Maximum188375
Range188374
Interquartile range (IQR)94187

Descriptive statistics

Standard deviation54379.32282
Coefficient of variation (CV)0.5773487367
Kurtosis-1.2
Mean94188
Median Absolute Deviation (MAD)47094
Skewness0
Sum1.77426645 × 1010
Variance2957110750
MonotonicityStrictly increasing
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20471
 
< 0.1%
1365521
 
< 0.1%
1570301
 
< 0.1%
1631731
 
< 0.1%
1611241
 
< 0.1%
1508831
 
< 0.1%
1488341
 
< 0.1%
1549771
 
< 0.1%
1529281
 
< 0.1%
443511
 
< 0.1%
Other values (188365)188365
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
21
< 0.1%
31
< 0.1%
41
< 0.1%
51
< 0.1%
61
< 0.1%
71
< 0.1%
81
< 0.1%
91
< 0.1%
101
< 0.1%
ValueCountFrequency (%)
1883751
< 0.1%
1883741
< 0.1%
1883731
< 0.1%
1883721
< 0.1%
1883711
< 0.1%
1883701
< 0.1%
1883691
< 0.1%
1883681
< 0.1%
1883671
< 0.1%
1883661
< 0.1%

procedencia
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
Nacional
188220 
Extranjero
 
155

Length

Max length10
Median length8
Mean length8.001645654
Min length8

Characters and Unicode

Total characters1507310
Distinct characters13
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNacional
2nd rowNacional
3rd rowNacional
4th rowNacional
5th rowNacional

Common Values

ValueCountFrequency (%)
Nacional188220
99.9%
Extranjero155
 
0.1%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
nacional188220
99.9%
extranjero155
 
0.1%

Most occurring characters

ValueCountFrequency (%)
a376595
25.0%
o188375
12.5%
n188375
12.5%
N188220
12.5%
c188220
12.5%
i188220
12.5%
l188220
12.5%
r310
 
< 0.1%
E155
 
< 0.1%
x155
 
< 0.1%
Other values (3)465
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1318935
87.5%
Uppercase Letter188375
 
12.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a376595
28.6%
o188375
14.3%
n188375
14.3%
c188220
14.3%
i188220
14.3%
l188220
14.3%
r310
 
< 0.1%
x155
 
< 0.1%
t155
 
< 0.1%
j155
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N188220
99.9%
E155
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Latin1507310
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a376595
25.0%
o188375
12.5%
n188375
12.5%
N188220
12.5%
c188220
12.5%
i188220
12.5%
l188220
12.5%
r310
 
< 0.1%
E155
 
< 0.1%
x155
 
< 0.1%
Other values (3)465
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1507310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a376595
25.0%
o188375
12.5%
n188375
12.5%
N188220
12.5%
c188220
12.5%
i188220
12.5%
l188220
12.5%
r310
 
< 0.1%
E155
 
< 0.1%
x155
 
< 0.1%
Other values (3)465
 
< 0.1%

genero
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2
Distinct (%)< 0.1%
Missing101176
Missing (%)53.7%
Memory size1.4 MiB
Femenino
46897 
Masculino
40302 

Length

Max length9
Median length8
Mean length8.462184199
Min length8

Characters and Unicode

Total characters737894
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFemenino
2nd rowFemenino
3rd rowFemenino
4th rowFemenino
5th rowFemenino

Common Values

ValueCountFrequency (%)
Femenino46897
24.9%
Masculino40302
 
21.4%
(Missing)101176
53.7%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
femenino46897
53.8%
masculino40302
46.2%

Most occurring characters

ValueCountFrequency (%)
n134096
18.2%
e93794
12.7%
i87199
11.8%
o87199
11.8%
F46897
 
6.4%
m46897
 
6.4%
M40302
 
5.5%
a40302
 
5.5%
s40302
 
5.5%
c40302
 
5.5%
Other values (2)80604
10.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter650695
88.2%
Uppercase Letter87199
 
11.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n134096
20.6%
e93794
14.4%
i87199
13.4%
o87199
13.4%
m46897
 
7.2%
a40302
 
6.2%
s40302
 
6.2%
c40302
 
6.2%
u40302
 
6.2%
l40302
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
F46897
53.8%
M40302
46.2%

Most occurring scripts

ValueCountFrequency (%)
Latin737894
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
n134096
18.2%
e93794
12.7%
i87199
11.8%
o87199
11.8%
F46897
 
6.4%
m46897
 
6.4%
M40302
 
5.5%
a40302
 
5.5%
s40302
 
5.5%
c40302
 
5.5%
Other values (2)80604
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII737894
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n134096
18.2%
e93794
12.7%
i87199
11.8%
o87199
11.8%
F46897
 
6.4%
m46897
 
6.4%
M40302
 
5.5%
a40302
 
5.5%
s40302
 
5.5%
c40302
 
5.5%
Other values (2)80604
10.9%

estado_civil
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing106039
Missing (%)56.3%
Memory size1.4 MiB
Union Libre
32146 
Casado
24775 
Soltero
24144 
Viudo
 
809
Divorciado
 
462

Length

Max length11
Median length7
Mean length8.257979499
Min length5

Characters and Unicode

Total characters679929
Distinct characters21
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUnion Libre
2nd rowUnion Libre
3rd rowUnion Libre
4th rowUnion Libre
5th rowSoltero

Common Values

ValueCountFrequency (%)
Union Libre32146
 
17.1%
Casado24775
 
13.2%
Soltero24144
 
12.8%
Viudo809
 
0.4%
Divorciado462
 
0.2%
(Missing)106039
56.3%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
union32146
28.1%
libre32146
28.1%
casado24775
21.6%
soltero24144
21.1%
viudo809
 
0.7%
divorciado462
 
0.4%

Most occurring characters

ValueCountFrequency (%)
o106942
15.7%
i66025
9.7%
n64292
9.5%
r56752
 
8.3%
e56290
 
8.3%
a50012
 
7.4%
U32146
 
4.7%
32146
 
4.7%
L32146
 
4.7%
b32146
 
4.7%
Other values (11)151032
22.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter533301
78.4%
Uppercase Letter114482
 
16.8%
Space Separator32146
 
4.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o106942
20.1%
i66025
12.4%
n64292
12.1%
r56752
10.6%
e56290
10.6%
a50012
9.4%
b32146
 
6.0%
d26046
 
4.9%
s24775
 
4.6%
l24144
 
4.5%
Other values (4)25877
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
U32146
28.1%
L32146
28.1%
C24775
21.6%
S24144
21.1%
V809
 
0.7%
D462
 
0.4%
Space Separator
ValueCountFrequency (%)
32146
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin647783
95.3%
Common32146
 
4.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
o106942
16.5%
i66025
10.2%
n64292
9.9%
r56752
8.8%
e56290
8.7%
a50012
7.7%
U32146
 
5.0%
L32146
 
5.0%
b32146
 
5.0%
d26046
 
4.0%
Other values (10)124986
19.3%
Common
ValueCountFrequency (%)
32146
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII679929
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o106942
15.7%
i66025
9.7%
n64292
9.5%
r56752
 
8.3%
e56290
 
8.3%
a50012
 
7.4%
U32146
 
4.7%
32146
 
4.7%
L32146
 
4.7%
b32146
 
4.7%
Other values (11)151032
22.2%

edad
Real number (ℝ≥0)

MISSING

Distinct72
Distinct (%)0.1%
Missing111303
Missing (%)59.1%
Infinite0
Infinite (%)0.0%
Mean44.54414054
Minimum18
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB

Quantile statistics

Minimum18
5-th percentile27
Q135
median44
Q353
95-th percentile65
Maximum90
Range72
Interquartile range (IQR)18

Descriptive statistics

Standard deviation11.8598161
Coefficient of variation (CV)0.2662486233
Kurtosis-0.3854007273
Mean44.54414054
Median Absolute Deviation (MAD)9
Skewness0.3212489544
Sum3433106
Variance140.6552378
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442968
 
1.6%
402611
 
1.4%
452461
 
1.3%
412454
 
1.3%
492371
 
1.3%
462341
 
1.2%
352314
 
1.2%
422231
 
1.2%
372215
 
1.2%
312153
 
1.1%
Other values (62)52953
28.1%
(Missing)111303
59.1%
ValueCountFrequency (%)
186
 
< 0.1%
1931
 
< 0.1%
20133
 
0.1%
21207
 
0.1%
22329
 
0.2%
23449
 
0.2%
24558
0.3%
25885
0.5%
261033
0.5%
271204
0.6%
ValueCountFrequency (%)
902
 
< 0.1%
891
 
< 0.1%
882
 
< 0.1%
871
 
< 0.1%
8514
 
< 0.1%
8441
< 0.1%
8348
< 0.1%
8220
< 0.1%
8149
< 0.1%
8044
< 0.1%

municipio_residencia
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
ARAUCA
77888 
TAME
57185 
SARAVENA
29961 
Otros
12507 
ARAUQUITA
10834 

Length

Max length9
Median length6
Mean length5.81710418
Min length4

Characters and Unicode

Total characters1095797
Distinct characters17
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSARAVENA
2nd rowSARAVENA
3rd rowARAUCA
4th rowSARAVENA
5th rowSARAVENA

Common Values

ValueCountFrequency (%)
ARAUCA77888
41.3%
TAME57185
30.4%
SARAVENA29961
 
15.9%
Otros12507
 
6.6%
ARAUQUITA10834
 
5.8%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
arauca77888
41.3%
tame57185
30.4%
saravena29961
 
15.9%
otros12507
 
6.6%
arauquita10834
 
5.8%

Most occurring characters

ValueCountFrequency (%)
A413234
37.7%
R118683
 
10.8%
U99556
 
9.1%
E87146
 
8.0%
C77888
 
7.1%
T68019
 
6.2%
M57185
 
5.2%
S29961
 
2.7%
V29961
 
2.7%
N29961
 
2.7%
Other values (7)84203
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter1045769
95.4%
Lowercase Letter50028
 
4.6%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A413234
39.5%
R118683
 
11.3%
U99556
 
9.5%
E87146
 
8.3%
C77888
 
7.4%
T68019
 
6.5%
M57185
 
5.5%
S29961
 
2.9%
V29961
 
2.9%
N29961
 
2.9%
Other values (3)34175
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
t12507
25.0%
r12507
25.0%
o12507
25.0%
s12507
25.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1095797
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A413234
37.7%
R118683
 
10.8%
U99556
 
9.1%
E87146
 
8.0%
C77888
 
7.1%
T68019
 
6.2%
M57185
 
5.2%
S29961
 
2.7%
V29961
 
2.7%
N29961
 
2.7%
Other values (7)84203
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1095797
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A413234
37.7%
R118683
 
10.8%
U99556
 
9.1%
E87146
 
8.0%
C77888
 
7.1%
T68019
 
6.2%
M57185
 
5.2%
S29961
 
2.7%
V29961
 
2.7%
N29961
 
2.7%
Other values (7)84203
 
7.7%

municipio_nacimiento
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing83
Missing (%)< 0.1%
Memory size1.4 MiB
ARAUCA
122001 
Otros
32528 
TAME
18983 
ARAUQUITA
 
8075
SARAVENA
 
6705

Length

Max length9
Median length6
Mean length5.825489134
Min length4

Characters and Unicode

Total characters1096893
Distinct characters17
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowARAUCA
2nd rowARAUCA
3rd rowARAUCA
4th rowARAUCA
5th rowARAUCA

Common Values

ValueCountFrequency (%)
ARAUCA122001
64.8%
Otros32528
 
17.3%
TAME18983
 
10.1%
ARAUQUITA8075
 
4.3%
SARAVENA6705
 
3.6%
(Missing)83
 
< 0.1%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
arauca122001
64.8%
otros32528
 
17.3%
tame18983
 
10.1%
arauquita8075
 
4.3%
saravena6705
 
3.6%

Most occurring characters

ValueCountFrequency (%)
A429326
39.1%
U138151
 
12.6%
R136781
 
12.5%
C122001
 
11.1%
O32528
 
3.0%
t32528
 
3.0%
r32528
 
3.0%
o32528
 
3.0%
s32528
 
3.0%
T27058
 
2.5%
Other values (7)80936
 
7.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter966781
88.1%
Lowercase Letter130112
 
11.9%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A429326
44.4%
U138151
 
14.3%
R136781
 
14.1%
C122001
 
12.6%
O32528
 
3.4%
T27058
 
2.8%
E25688
 
2.7%
M18983
 
2.0%
Q8075
 
0.8%
I8075
 
0.8%
Other values (3)20115
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
t32528
25.0%
r32528
25.0%
o32528
25.0%
s32528
25.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1096893
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A429326
39.1%
U138151
 
12.6%
R136781
 
12.5%
C122001
 
11.1%
O32528
 
3.0%
t32528
 
3.0%
r32528
 
3.0%
o32528
 
3.0%
s32528
 
3.0%
T27058
 
2.5%
Other values (7)80936
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1096893
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A429326
39.1%
U138151
 
12.6%
R136781
 
12.5%
C122001
 
11.1%
O32528
 
3.0%
t32528
 
3.0%
r32528
 
3.0%
o32528
 
3.0%
s32528
 
3.0%
T27058
 
2.5%
Other values (7)80936
 
7.4%

municipio_expedicion
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct5
Distinct (%)< 0.1%
Missing95331
Missing (%)50.6%
Memory size1.4 MiB
ARAUCA
37987 
Otros
30902 
TAME
14827 
ARAUQUITA
6004 
SARAVENA
 
3324

Length

Max length9
Median length6
Mean length5.614204033
Min length4

Characters and Unicode

Total characters522368
Distinct characters17
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowARAUCA
2nd rowARAUCA
3rd rowARAUCA
4th rowARAUCA
5th rowARAUCA

Common Values

ValueCountFrequency (%)
ARAUCA37987
 
20.2%
Otros30902
 
16.4%
TAME14827
 
7.9%
ARAUQUITA6004
 
3.2%
SARAVENA3324
 
1.8%
(Missing)95331
50.6%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
arauca37987
40.8%
otros30902
33.2%
tame14827
 
15.9%
arauquita6004
 
6.5%
saravena3324
 
3.6%

Most occurring characters

ValueCountFrequency (%)
A156772
30.0%
U49995
 
9.6%
R47315
 
9.1%
C37987
 
7.3%
O30902
 
5.9%
t30902
 
5.9%
r30902
 
5.9%
o30902
 
5.9%
s30902
 
5.9%
T20831
 
4.0%
Other values (7)54958
 
10.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter398760
76.3%
Lowercase Letter123608
 
23.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A156772
39.3%
U49995
 
12.5%
R47315
 
11.9%
C37987
 
9.5%
O30902
 
7.7%
T20831
 
5.2%
E18151
 
4.6%
M14827
 
3.7%
Q6004
 
1.5%
I6004
 
1.5%
Other values (3)9972
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
t30902
25.0%
r30902
25.0%
o30902
25.0%
s30902
25.0%

Most occurring scripts

ValueCountFrequency (%)
Latin522368
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A156772
30.0%
U49995
 
9.6%
R47315
 
9.1%
C37987
 
7.3%
O30902
 
5.9%
t30902
 
5.9%
r30902
 
5.9%
o30902
 
5.9%
s30902
 
5.9%
T20831
 
4.0%
Other values (7)54958
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII522368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A156772
30.0%
U49995
 
9.6%
R47315
 
9.1%
C37987
 
7.3%
O30902
 
5.9%
t30902
 
5.9%
r30902
 
5.9%
o30902
 
5.9%
s30902
 
5.9%
T20831
 
4.0%
Other values (7)54958
 
10.5%

tipo_persona
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
Natural
184835 
Juridica
 
3540

Length

Max length8
Median length7
Mean length7.018792303
Min length7

Characters and Unicode

Total characters1322165
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNatural
2nd rowNatural
3rd rowNatural
4th rowNatural
5th rowNatural

Common Values

ValueCountFrequency (%)
Natural184835
98.1%
Juridica3540
 
1.9%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
natural184835
98.1%
juridica3540
 
1.9%

Most occurring characters

ValueCountFrequency (%)
a373210
28.2%
u188375
14.2%
r188375
14.2%
N184835
14.0%
t184835
14.0%
l184835
14.0%
i7080
 
0.5%
J3540
 
0.3%
d3540
 
0.3%
c3540
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1133790
85.8%
Uppercase Letter188375
 
14.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a373210
32.9%
u188375
16.6%
r188375
16.6%
t184835
16.3%
l184835
16.3%
i7080
 
0.6%
d3540
 
0.3%
c3540
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
N184835
98.1%
J3540
 
1.9%

Most occurring scripts

ValueCountFrequency (%)
Latin1322165
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a373210
28.2%
u188375
14.2%
r188375
14.2%
N184835
14.0%
t184835
14.0%
l184835
14.0%
i7080
 
0.5%
J3540
 
0.3%
d3540
 
0.3%
c3540
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1322165
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a373210
28.2%
u188375
14.2%
r188375
14.2%
N184835
14.0%
t184835
14.0%
l184835
14.0%
i7080
 
0.5%
J3540
 
0.3%
d3540
 
0.3%
c3540
 
0.3%

tiene_casa_propia
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing104056
Missing (%)55.2%
Memory size1.4 MiB
Si
61879 
No
22440 

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters168638
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowSi

Common Values

ValueCountFrequency (%)
Si61879
32.8%
No22440
 
11.9%
(Missing)104056
55.2%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
si61879
73.4%
no22440
 
26.6%

Most occurring characters

ValueCountFrequency (%)
S61879
36.7%
i61879
36.7%
N22440
 
13.3%
o22440
 
13.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter84319
50.0%
Lowercase Letter84319
50.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S61879
73.4%
N22440
 
26.6%
Lowercase Letter
ValueCountFrequency (%)
i61879
73.4%
o22440
 
26.6%

Most occurring scripts

ValueCountFrequency (%)
Latin168638
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
S61879
36.7%
i61879
36.7%
N22440
 
13.3%
o22440
 
13.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII168638
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
S61879
36.7%
i61879
36.7%
N22440
 
13.3%
o22440
 
13.3%

sueldo_smdlv
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct520
Distinct (%)0.7%
Missing114766
Missing (%)60.9%
Infinite0
Infinite (%)0.0%
Mean103.9100246
Minimum3
Maximum600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB

Quantile statistics

Minimum3
5-th percentile27
Q144
median73
Q3130
95-th percentile291
Maximum600
Range597
Interquartile range (IQR)86

Descriptive statistics

Standard deviation90.84434247
Coefficient of variation (CV)0.8742596571
Kurtosis6.877685855
Mean103.9100246
Median Absolute Deviation (MAD)35
Skewness2.311806575
Sum7648713
Variance8252.694559
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
431634
 
0.9%
341568
 
0.8%
361485
 
0.8%
461368
 
0.7%
611366
 
0.7%
381325
 
0.7%
761316
 
0.7%
691263
 
0.7%
721224
 
0.6%
301204
 
0.6%
Other values (510)59856
31.8%
(Missing)114766
60.9%
ValueCountFrequency (%)
36
 
< 0.1%
43
 
< 0.1%
513
 
< 0.1%
621
 
< 0.1%
754
 
< 0.1%
825
 
< 0.1%
927
 
< 0.1%
10135
0.1%
1146
 
< 0.1%
1245
 
< 0.1%
ValueCountFrequency (%)
600293
0.2%
5991
 
< 0.1%
5971
 
< 0.1%
5931
 
< 0.1%
58844
 
< 0.1%
5866
 
< 0.1%
5847
 
< 0.1%
58210
 
< 0.1%
5781
 
< 0.1%
57615
 
< 0.1%

otros_ingresos
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
SIN OTROS INGRESOS
182980 
CON OTROS INGRESOS
 
5395

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters3390750
Distinct characters10
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSIN OTROS INGRESOS
2nd rowSIN OTROS INGRESOS
3rd rowSIN OTROS INGRESOS
4th rowSIN OTROS INGRESOS
5th rowSIN OTROS INGRESOS

Common Values

ValueCountFrequency (%)
SIN OTROS INGRESOS182980
97.1%
CON OTROS INGRESOS5395
 
2.9%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
ingresos188375
33.3%
otros188375
33.3%
sin182980
32.4%
con5395
 
1.0%

Most occurring characters

ValueCountFrequency (%)
S748105
22.1%
O570520
16.8%
N376750
11.1%
376750
11.1%
R376750
11.1%
I371355
11.0%
T188375
 
5.6%
G188375
 
5.6%
E188375
 
5.6%
C5395
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter3014000
88.9%
Space Separator376750
 
11.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S748105
24.8%
O570520
18.9%
N376750
12.5%
R376750
12.5%
I371355
12.3%
T188375
 
6.2%
G188375
 
6.2%
E188375
 
6.2%
C5395
 
0.2%
Space Separator
ValueCountFrequency (%)
376750
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3014000
88.9%
Common376750
 
11.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
S748105
24.8%
O570520
18.9%
N376750
12.5%
R376750
12.5%
I371355
12.3%
T188375
 
6.2%
G188375
 
6.2%
E188375
 
6.2%
C5395
 
0.2%
Common
ValueCountFrequency (%)
376750
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3390750
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
S748105
22.1%
O570520
16.8%
N376750
11.1%
376750
11.1%
R376750
11.1%
I371355
11.0%
T188375
 
5.6%
G188375
 
5.6%
E188375
 
5.6%
C5395
 
0.2%

otros_ingresos_smdlv
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct212
Distinct (%)3.9%
Missing182980
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean54.5892493
Minimum1
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB

Quantile statistics

Minimum1
5-th percentile7
Q120
median34
Q363
95-th percentile194
Maximum300
Range299
Interquartile range (IQR)43

Descriptive statistics

Standard deviation59.19009956
Coefficient of variation (CV)1.084281252
Kurtosis5.935529208
Mean54.5892493
Median Absolute Deviation (MAD)17
Skewness2.389772012
Sum294509
Variance3503.467886
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34163
 
0.1%
18160
 
0.1%
36155
 
0.1%
17133
 
0.1%
20131
 
0.1%
23130
 
0.1%
21129
 
0.1%
30118
 
0.1%
26112
 
0.1%
13112
 
0.1%
Other values (202)4052
 
2.2%
(Missing)182980
97.1%
ValueCountFrequency (%)
17
 
< 0.1%
340
< 0.1%
442
< 0.1%
540
< 0.1%
650
< 0.1%
797
0.1%
866
< 0.1%
948
< 0.1%
1094
< 0.1%
1150
< 0.1%
ValueCountFrequency (%)
30090
< 0.1%
2948
 
< 0.1%
29111
 
< 0.1%
2883
 
< 0.1%
2802
 
< 0.1%
2761
 
< 0.1%
2717
 
< 0.1%
2682
 
< 0.1%
2644
 
< 0.1%
2622
 
< 0.1%

municipio_credito
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
ARAUCA
77309 
TAME
50885 
SARAVENA
25064 
ARAUQUITA
18322 
Otros
16795 

Length

Max length9
Median length6
Mean length5.928488388
Min length4

Characters and Unicode

Total characters1116779
Distinct characters17
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSARAVENA
2nd rowSARAVENA
3rd rowARAUCA
4th rowSARAVENA
5th rowARAUQUITA

Common Values

ValueCountFrequency (%)
ARAUCA77309
41.0%
TAME50885
27.0%
SARAVENA25064
 
13.3%
ARAUQUITA18322
 
9.7%
Otros16795
 
8.9%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
arauca77309
41.0%
tame50885
27.0%
saravena25064
 
13.3%
arauquita18322
 
9.7%
otros16795
 
8.9%

Most occurring characters

ValueCountFrequency (%)
A412970
37.0%
R120695
 
10.8%
U113953
 
10.2%
C77309
 
6.9%
E75949
 
6.8%
T69207
 
6.2%
M50885
 
4.6%
S25064
 
2.2%
V25064
 
2.2%
N25064
 
2.2%
Other values (7)120619
 
10.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter1049599
94.0%
Lowercase Letter67180
 
6.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A412970
39.3%
R120695
 
11.5%
U113953
 
10.9%
C77309
 
7.4%
E75949
 
7.2%
T69207
 
6.6%
M50885
 
4.8%
S25064
 
2.4%
V25064
 
2.4%
N25064
 
2.4%
Other values (3)53439
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
t16795
25.0%
r16795
25.0%
o16795
25.0%
s16795
25.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1116779
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A412970
37.0%
R120695
 
10.8%
U113953
 
10.2%
C77309
 
6.9%
E75949
 
6.8%
T69207
 
6.2%
M50885
 
4.6%
S25064
 
2.2%
V25064
 
2.2%
N25064
 
2.2%
Other values (7)120619
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1116779
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A412970
37.0%
R120695
 
10.8%
U113953
 
10.2%
C77309
 
6.9%
E75949
 
6.8%
T69207
 
6.2%
M50885
 
4.6%
S25064
 
2.2%
V25064
 
2.2%
N25064
 
2.2%
Other values (7)120619
 
10.8%

codeudor
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
SIN CODEUDOR
160888 
CON CODEUDOR
27487 

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2260500
Distinct characters10
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSIN CODEUDOR
2nd rowSIN CODEUDOR
3rd rowSIN CODEUDOR
4th rowSIN CODEUDOR
5th rowSIN CODEUDOR

Common Values

ValueCountFrequency (%)
SIN CODEUDOR160888
85.4%
CON CODEUDOR27487
 
14.6%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
codeudor188375
50.0%
sin160888
42.7%
con27487
 
7.3%

Most occurring characters

ValueCountFrequency (%)
O404237
17.9%
D376750
16.7%
C215862
9.5%
N188375
8.3%
188375
8.3%
E188375
8.3%
U188375
8.3%
R188375
8.3%
S160888
 
7.1%
I160888
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter2072125
91.7%
Space Separator188375
 
8.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O404237
19.5%
D376750
18.2%
C215862
10.4%
N188375
9.1%
E188375
9.1%
U188375
9.1%
R188375
9.1%
S160888
 
7.8%
I160888
 
7.8%
Space Separator
ValueCountFrequency (%)
188375
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2072125
91.7%
Common188375
 
8.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
O404237
19.5%
D376750
18.2%
C215862
10.4%
N188375
9.1%
E188375
9.1%
U188375
9.1%
R188375
9.1%
S160888
 
7.8%
I160888
 
7.8%
Common
ValueCountFrequency (%)
188375
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2260500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O404237
17.9%
D376750
16.7%
C215862
9.5%
N188375
8.3%
188375
8.3%
E188375
8.3%
U188375
8.3%
R188375
8.3%
S160888
 
7.1%
I160888
 
7.1%

sector
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing18
Missing (%)< 0.1%
Memory size1.4 MiB
PRIVADO
170059 
PUBLICO
18298 

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters1318499
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPRIVADO
2nd rowPRIVADO
3rd rowPRIVADO
4th rowPRIVADO
5th rowPRIVADO

Common Values

ValueCountFrequency (%)
PRIVADO170059
90.3%
PUBLICO18298
 
9.7%
(Missing)18
 
< 0.1%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
privado170059
90.3%
publico18298
 
9.7%

Most occurring characters

ValueCountFrequency (%)
P188357
14.3%
I188357
14.3%
O188357
14.3%
R170059
12.9%
V170059
12.9%
A170059
12.9%
D170059
12.9%
U18298
 
1.4%
B18298
 
1.4%
L18298
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter1318499
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
P188357
14.3%
I188357
14.3%
O188357
14.3%
R170059
12.9%
V170059
12.9%
A170059
12.9%
D170059
12.9%
U18298
 
1.4%
B18298
 
1.4%
L18298
 
1.4%

Most occurring scripts

ValueCountFrequency (%)
Latin1318499
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
P188357
14.3%
I188357
14.3%
O188357
14.3%
R170059
12.9%
V170059
12.9%
A170059
12.9%
D170059
12.9%
U18298
 
1.4%
B18298
 
1.4%
L18298
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1318499
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P188357
14.3%
I188357
14.3%
O188357
14.3%
R170059
12.9%
V170059
12.9%
A170059
12.9%
D170059
12.9%
U18298
 
1.4%
B18298
 
1.4%
L18298
 
1.4%

año_credito
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2012.373744
Minimum1996
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB

Quantile statistics

Minimum1996
5-th percentile2001
Q12009
median2014
Q32017
95-th percentile2019
Maximum2021
Range25
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.504597939
Coefficient of variation (CV)0.002735375552
Kurtosis0.01111200062
Mean2012.373744
Median Absolute Deviation (MAD)3
Skewness-0.8332514127
Sum379080904
Variance30.30059848
MonotonicityNot monotonic
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
201517958
 
9.5%
201715242
 
8.1%
201414668
 
7.8%
201814504
 
7.7%
201614358
 
7.6%
201312975
 
6.9%
201211897
 
6.3%
201110891
 
5.8%
201910731
 
5.7%
20108960
 
4.8%
Other values (16)56191
29.8%
ValueCountFrequency (%)
19961
 
< 0.1%
19971144
 
0.6%
19982008
1.1%
19992670
1.4%
20002581
1.4%
20012876
1.5%
20022824
1.5%
20032864
1.5%
20043723
2.0%
20054629
2.5%
ValueCountFrequency (%)
2021532
 
0.3%
20207602
4.0%
201910731
5.7%
201814504
7.7%
201715242
8.1%
201614358
7.6%
201517958
9.5%
201414668
7.8%
201312975
6.9%
201211897
6.3%

mes_credito
Real number (ℝ≥0)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.879909754
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q310
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.486528039
Coefficient of variation (CV)0.5067694437
Kurtosis-1.215080083
Mean6.879909754
Median Absolute Deviation (MAD)3
Skewness-0.111759026
Sum1296003
Variance12.15587777
MonotonicityNot monotonic
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1221540
11.4%
1017814
9.5%
916137
8.6%
1115901
8.4%
515731
8.4%
715607
8.3%
815203
8.1%
615036
8.0%
314397
7.6%
413864
7.4%
Other values (2)27145
14.4%
ValueCountFrequency (%)
113442
7.1%
213703
7.3%
314397
7.6%
413864
7.4%
515731
8.4%
615036
8.0%
715607
8.3%
815203
8.1%
916137
8.6%
1017814
9.5%
ValueCountFrequency (%)
1221540
11.4%
1115901
8.4%
1017814
9.5%
916137
8.6%
815203
8.1%
715607
8.3%
615036
8.0%
515731
8.4%
413864
7.4%
314397
7.6%

valor_credito_smdlv
Real number (ℝ≥0)

HIGH CORRELATION

Distinct667
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.49130192
Minimum0
Maximum700
Zeros1577
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB

Quantile statistics

Minimum0
5-th percentile5
Q119
median45
Q378
95-th percentile229
Maximum700
Range700
Interquartile range (IQR)59

Descriptive statistics

Standard deviation80.92823993
Coefficient of variation (CV)1.199091403
Kurtosis15.35489601
Mean67.49130192
Median Absolute Deviation (MAD)28
Skewness3.246158355
Sum12713674
Variance6549.380018
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64471
 
2.4%
73928
 
2.1%
162966
 
1.6%
152717
 
1.4%
82674
 
1.4%
182628
 
1.4%
52598
 
1.4%
172587
 
1.4%
142367
 
1.3%
192257
 
1.2%
Other values (657)159182
84.5%
ValueCountFrequency (%)
01577
 
0.8%
12207
1.2%
22156
1.1%
31557
 
0.8%
41769
 
0.9%
52598
1.4%
64471
2.4%
73928
2.1%
82674
1.4%
92101
1.1%
ValueCountFrequency (%)
700447
0.2%
6981
 
< 0.1%
6972
 
< 0.1%
6961
 
< 0.1%
6952
 
< 0.1%
6942
 
< 0.1%
6932
 
< 0.1%
6912
 
< 0.1%
6891
 
< 0.1%
6871
 
< 0.1%

estado_final
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
PAGADO VENCIDO
94541 
PAGADO ANTICIPADO
49231 
PAGADO A TIEMPO
21853 
DESCUENTO EN VENTA
14297 
CARTERA CASTIGADA
 
4028
Other values (2)
 
4425

Length

Max length18
Median length14
Mean length15.21375979
Min length10

Characters and Unicode

Total characters2865892
Distinct characters17
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPAGADO ANTICIPADO
2nd rowPAGADO ANTICIPADO
3rd rowPAGADO ANTICIPADO
4th rowPAGADO VENCIDO
5th rowPAGADO VENCIDO

Common Values

ValueCountFrequency (%)
PAGADO VENCIDO94541
50.2%
PAGADO ANTICIPADO49231
26.1%
PAGADO A TIEMPO21853
 
11.6%
DESCUENTO EN VENTA14297
 
7.6%
CARTERA CASTIGADA4028
 
2.1%
OTROS CIERRES2508
 
1.3%
DEVOLUCION1917
 
1.0%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
pagado165625
40.3%
vencido94541
23.0%
anticipado49231
 
12.0%
a21853
 
5.3%
tiempo21853
 
5.3%
en14297
 
3.5%
descuento14297
 
3.5%
venta14297
 
3.5%
cartera4028
 
1.0%
castigada4028
 
1.0%
Other values (3)6933
 
1.7%

Most occurring characters

ValueCountFrequency (%)
A486002
17.0%
O354397
12.4%
D329639
11.5%
P236709
8.3%
I223309
7.8%
222608
7.8%
N188580
 
6.6%
E184543
 
6.4%
C170550
 
6.0%
G169653
 
5.9%
Other values (7)299902
10.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter2643284
92.2%
Space Separator222608
 
7.8%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A486002
18.4%
O354397
13.4%
D329639
12.5%
P236709
9.0%
I223309
8.4%
N188580
 
7.1%
E184543
 
7.0%
C170550
 
6.5%
G169653
 
6.4%
V110755
 
4.2%
Other values (6)189147
 
7.2%
Space Separator
ValueCountFrequency (%)
222608
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2643284
92.2%
Common222608
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
A486002
18.4%
O354397
13.4%
D329639
12.5%
P236709
9.0%
I223309
8.4%
N188580
 
7.1%
E184543
 
7.0%
C170550
 
6.5%
G169653
 
6.4%
V110755
 
4.2%
Other values (6)189147
 
7.2%
Common
ValueCountFrequency (%)
222608
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2865892
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A486002
17.0%
O354397
12.4%
D329639
11.5%
P236709
8.3%
I223309
7.8%
222608
7.8%
N188580
 
6.6%
E184543
 
6.4%
C170550
 
6.0%
G169653
 
5.9%
Other values (7)299902
10.5%

tipo_venta
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
ELECTRODOMESTICOS
187478 
MOTOS
 
871
CONTRATO
 
26

Length

Max length17
Median length17
Mean length16.94327273
Min length5

Characters and Unicode

Total characters3191689
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowELECTRODOMESTICOS
2nd rowELECTRODOMESTICOS
3rd rowELECTRODOMESTICOS
4th rowELECTRODOMESTICOS
5th rowELECTRODOMESTICOS

Common Values

ValueCountFrequency (%)
ELECTRODOMESTICOS187478
99.5%
MOTOS871
 
0.5%
CONTRATO26
 
< 0.1%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
electrodomesticos187478
99.5%
motos871
 
0.5%
contrato26
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
O564228
17.7%
E562434
17.6%
T375879
11.8%
S375827
11.8%
C374982
11.7%
M188349
 
5.9%
R187504
 
5.9%
L187478
 
5.9%
D187478
 
5.9%
I187478
 
5.9%
Other values (2)52
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter3191689
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O564228
17.7%
E562434
17.6%
T375879
11.8%
S375827
11.8%
C374982
11.7%
M188349
 
5.9%
R187504
 
5.9%
L187478
 
5.9%
D187478
 
5.9%
I187478
 
5.9%
Other values (2)52
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Latin3191689
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
O564228
17.7%
E562434
17.6%
T375879
11.8%
S375827
11.8%
C374982
11.7%
M188349
 
5.9%
R187504
 
5.9%
L187478
 
5.9%
D187478
 
5.9%
I187478
 
5.9%
Other values (2)52
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII3191689
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O564228
17.7%
E562434
17.6%
T375879
11.8%
S375827
11.8%
C374982
11.7%
M188349
 
5.9%
R187504
 
5.9%
L187478
 
5.9%
D187478
 
5.9%
I187478
 
5.9%
Other values (2)52
 
< 0.1%

periodo_credito
Categorical

HIGH CORRELATION

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
MENSUAL(ES)
176016 
DIARIA(S)
 
9973
SEMANAL(ES)
 
1765
QUINCENAL(ES)
 
621

Length

Max length13
Median length11
Mean length10.90070869
Min length9

Characters and Unicode

Total characters2053421
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowQUINCENAL(ES)
2nd rowMENSUAL(ES)
3rd rowMENSUAL(ES)
4th rowMENSUAL(ES)
5th rowMENSUAL(ES)

Common Values

ValueCountFrequency (%)
MENSUAL(ES)176016
93.4%
DIARIA(S)9973
 
5.3%
SEMANAL(ES)1765
 
0.9%
QUINCENAL(ES)621
 
0.3%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
mensual(es176016
93.4%
diaria(s9973
 
5.3%
semanal(es1765
 
0.9%
quincenal(es621
 
0.3%

Most occurring characters

ValueCountFrequency (%)
S366156
17.8%
E356804
17.4%
A200113
9.7%
(188375
9.2%
)188375
9.2%
N179023
8.7%
L178402
8.7%
M177781
8.7%
U176637
8.6%
I20567
 
1.0%
Other values (4)21188
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter1676671
81.7%
Open Punctuation188375
 
9.2%
Close Punctuation188375
 
9.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S366156
21.8%
E356804
21.3%
A200113
11.9%
N179023
10.7%
L178402
10.6%
M177781
10.6%
U176637
10.5%
I20567
 
1.2%
D9973
 
0.6%
R9973
 
0.6%
Other values (2)1242
 
0.1%
Open Punctuation
ValueCountFrequency (%)
(188375
100.0%
Close Punctuation
ValueCountFrequency (%)
)188375
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1676671
81.7%
Common376750
 
18.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
S366156
21.8%
E356804
21.3%
A200113
11.9%
N179023
10.7%
L178402
10.6%
M177781
10.6%
U176637
10.5%
I20567
 
1.2%
D9973
 
0.6%
R9973
 
0.6%
Other values (2)1242
 
0.1%
Common
ValueCountFrequency (%)
(188375
50.0%
)188375
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2053421
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
S366156
17.8%
E356804
17.4%
A200113
9.7%
(188375
9.2%
)188375
9.2%
N179023
8.7%
L178402
8.7%
M177781
8.7%
U176637
8.6%
I20567
 
1.0%
Other values (4)21188
 
1.0%

cuotas
Real number (ℝ≥0)

HIGH CORRELATION

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.143824818
Minimum0
Maximum14
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB

Quantile statistics

Minimum0
5-th percentile1
Q11
median4
Q310
95-th percentile14
Maximum14
Range14
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.455517642
Coefficient of variation (CV)0.8661876716
Kurtosis-0.9937509874
Mean5.143824818
Median Absolute Deviation (MAD)3
Skewness0.6628625532
Sum968968
Variance19.85163746
MonotonicityNot monotonic
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
171980
38.2%
1022823
 
12.1%
514877
 
7.9%
1414166
 
7.5%
310925
 
5.8%
610582
 
5.6%
210577
 
5.6%
128188
 
4.3%
48026
 
4.3%
95644
 
3.0%
Other values (5)10587
 
5.6%
ValueCountFrequency (%)
02
 
< 0.1%
171980
38.2%
210577
 
5.6%
310925
 
5.8%
48026
 
4.3%
514877
 
7.9%
610582
 
5.6%
72007
 
1.1%
84061
 
2.2%
95644
 
3.0%
ValueCountFrequency (%)
1414166
7.5%
13624
 
0.3%
128188
 
4.3%
113893
 
2.1%
1022823
12.1%
95644
 
3.0%
84061
 
2.2%
72007
 
1.1%
610582
5.6%
514877
7.9%

forma_pago
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
CRÉDITO
182517 
LIBRANZA
 
5858

Length

Max length8
Median length7
Mean length7.031097545
Min length7

Characters and Unicode

Total characters1324483
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCRÉDITO
2nd rowCRÉDITO
3rd rowCRÉDITO
4th rowCRÉDITO
5th rowCRÉDITO

Common Values

ValueCountFrequency (%)
CRÉDITO182517
96.9%
LIBRANZA5858
 
3.1%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
crédito182517
96.9%
libranza5858
 
3.1%

Most occurring characters

ValueCountFrequency (%)
R188375
14.2%
I188375
14.2%
C182517
13.8%
É182517
13.8%
D182517
13.8%
T182517
13.8%
O182517
13.8%
A11716
 
0.9%
L5858
 
0.4%
B5858
 
0.4%
Other values (2)11716
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter1324483
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R188375
14.2%
I188375
14.2%
C182517
13.8%
É182517
13.8%
D182517
13.8%
T182517
13.8%
O182517
13.8%
A11716
 
0.9%
L5858
 
0.4%
B5858
 
0.4%
Other values (2)11716
 
0.9%

Most occurring scripts

ValueCountFrequency (%)
Latin1324483
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
R188375
14.2%
I188375
14.2%
C182517
13.8%
É182517
13.8%
D182517
13.8%
T182517
13.8%
O182517
13.8%
A11716
 
0.9%
L5858
 
0.4%
B5858
 
0.4%
Other values (2)11716
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1141966
86.2%
Latin 1 Sup182517
 
13.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
R188375
16.5%
I188375
16.5%
C182517
16.0%
D182517
16.0%
T182517
16.0%
O182517
16.0%
A11716
 
1.0%
L5858
 
0.5%
B5858
 
0.5%
N5858
 
0.5%
Latin 1 Sup
ValueCountFrequency (%)
É182517
100.0%

tipo_cliente
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
DUDOSO
96458 
APTO
71084 
ACEPTABLE
16805 
NEGATIVO
 
4028

Length

Max length9
Median length6
Mean length5.555689449
Min length4

Characters and Unicode

Total characters1046553
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAPTO
2nd rowAPTO
3rd rowAPTO
4th rowDUDOSO
5th rowDUDOSO

Common Values

ValueCountFrequency (%)
DUDOSO96458
51.2%
APTO71084
37.7%
ACEPTABLE16805
 
8.9%
NEGATIVO4028
 
2.1%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
dudoso96458
51.2%
apto71084
37.7%
aceptable16805
 
8.9%
negativo4028
 
2.1%

Most occurring characters

ValueCountFrequency (%)
O268028
25.6%
D192916
18.4%
A108722
10.4%
U96458
 
9.2%
S96458
 
9.2%
T91917
 
8.8%
P87889
 
8.4%
E37638
 
3.6%
C16805
 
1.6%
B16805
 
1.6%
Other values (5)32917
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter1046553
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O268028
25.6%
D192916
18.4%
A108722
10.4%
U96458
 
9.2%
S96458
 
9.2%
T91917
 
8.8%
P87889
 
8.4%
E37638
 
3.6%
C16805
 
1.6%
B16805
 
1.6%
Other values (5)32917
 
3.1%

Most occurring scripts

ValueCountFrequency (%)
Latin1046553
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
O268028
25.6%
D192916
18.4%
A108722
10.4%
U96458
 
9.2%
S96458
 
9.2%
T91917
 
8.8%
P87889
 
8.4%
E37638
 
3.6%
C16805
 
1.6%
B16805
 
1.6%
Other values (5)32917
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1046553
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O268028
25.6%
D192916
18.4%
A108722
10.4%
U96458
 
9.2%
S96458
 
9.2%
T91917
 
8.8%
P87889
 
8.4%
E37638
 
3.6%
C16805
 
1.6%
B16805
 
1.6%
Other values (5)32917
 
3.1%

Interactions

Correlations

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

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12NacionalNaNNaNNaNSARAVENAARAUCAARAUCANaturalNaNNaNSIN OTROS INGRESOSNaNSARAVENASIN CODEUDORPRIVADO20085118PAGADO ANTICIPADOELECTRODOMESTICOSMENSUAL(ES)10CRÉDITOAPTO
23NacionalNaNUnion Libre57.0ARAUCAARAUCAARAUCANaturalNoNaNSIN OTROS INGRESOSNaNARAUCASIN CODEUDORPRIVADO20141159PAGADO ANTICIPADOELECTRODOMESTICOSMENSUAL(ES)10CRÉDITOAPTO
34NacionalNaNNaNNaNSARAVENAARAUCAARAUCANaturalNaNNaNSIN OTROS INGRESOSNaNSARAVENASIN CODEUDORPRIVADO2012222PAGADO VENCIDOELECTRODOMESTICOSMENSUAL(ES)4CRÉDITODUDOSO
45NacionalNaNNaNNaNSARAVENAARAUCAARAUCANaturalNaNNaNSIN OTROS INGRESOSNaNARAUQUITASIN CODEUDORPRIVADO2013750PAGADO VENCIDOELECTRODOMESTICOSMENSUAL(ES)7CRÉDITODUDOSO
56NacionalNaNNaNNaNSARAVENAARAUCAARAUCANaturalNaNNaNSIN OTROS INGRESOSNaNARAUQUITASIN CODEUDORPRIVADO20101241PAGADO VENCIDOELECTRODOMESTICOSMENSUAL(ES)5CRÉDITODUDOSO
67NacionalNaNNaNNaNSARAVENAARAUCAARAUCANaturalNaNNaNSIN OTROS INGRESOSNaNARAUQUITASIN CODEUDORPRIVADO2010878PAGADO VENCIDOELECTRODOMESTICOSMENSUAL(ES)8CRÉDITODUDOSO
78NacionalNaNNaNNaNSARAVENAARAUCAARAUCANaturalNaNNaNSIN OTROS INGRESOSNaNSARAVENASIN CODEUDORPRIVADO2012876PAGADO ANTICIPADOELECTRODOMESTICOSMENSUAL(ES)8CRÉDITOAPTO
89NacionalNaNNaNNaNSARAVENAARAUCAARAUCANaturalNaNNaNSIN OTROS INGRESOSNaNSARAVENASIN CODEUDORPRIVADO2014127PAGADO VENCIDOELECTRODOMESTICOSMENSUAL(ES)2CRÉDITODUDOSO
910NacionalNaNUnion Libre57.0ARAUCAARAUCAARAUCANaturalNoNaNSIN OTROS INGRESOSNaNARAUCASIN CODEUDORPRIVADO201597PAGADO A TIEMPOELECTRODOMESTICOSMENSUAL(ES)1CRÉDITOAPTO

Last rows

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188366188367NacionalNaNNaNNaNARAUCAARAUCANaNNaturalNaNNaNSIN OTROS INGRESOSNaNARAUCASIN CODEUDORPRIVADO20058235PAGADO VENCIDOELECTRODOMESTICOSSEMANAL(ES)14CRÉDITODUDOSO
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188368188369NacionalNaNNaNNaNARAUCAARAUCANaNNaturalNaNNaNSIN OTROS INGRESOSNaNARAUCASIN CODEUDORPRIVADO2007320PAGADO ANTICIPADOELECTRODOMESTICOSSEMANAL(ES)10CRÉDITOAPTO
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188370188371NacionalNaNNaNNaNARAUCAARAUCANaNNaturalNaNNaNSIN OTROS INGRESOSNaNARAUCASIN CODEUDORPRIVADO20005106PAGADO VENCIDOELECTRODOMESTICOSSEMANAL(ES)14CRÉDITODUDOSO
188371188372NacionalNaNNaNNaNARAUCAARAUCANaNNaturalNaNNaNSIN OTROS INGRESOSNaNARAUCASIN CODEUDORPRIVADO19991155PAGADO VENCIDOELECTRODOMESTICOSSEMANAL(ES)14CRÉDITODUDOSO
188372188373NacionalNaNNaNNaNARAUCAARAUCANaNNaturalNaNNaNSIN OTROS INGRESOSNaNARAUCASIN CODEUDORPRIVADO20051215PAGADO VENCIDOELECTRODOMESTICOSSEMANAL(ES)9CRÉDITODUDOSO
188373188374NacionalNaNNaNNaNARAUCAARAUCANaNNaturalNaNNaNSIN OTROS INGRESOSNaNARAUCASIN CODEUDORPRIVADO2006142PAGADO VENCIDOELECTRODOMESTICOSSEMANAL(ES)8CRÉDITODUDOSO
188374188375NacionalNaNNaNNaNARAUCAARAUCANaNNaturalNaNNaNSIN OTROS INGRESOSNaNARAUCASIN CODEUDORPRIVADO20081231PAGADO ANTICIPADOELECTRODOMESTICOSSEMANAL(ES)1CRÉDITOAPTO